English

Data-driven micromorphic mechanics for materials with strain localization

Numerical Analysis 2025-03-05 v4 Numerical Analysis

Abstract

This paper explores the role of generalized continuum mechanics, and the feasibility of model-free data-driven computing approaches thereof, in solids undergoing failure by strain localization. Specifically, we set forth a methodology for capturing material instabilities using data-driven mechanics without prior information regarding the failure mode. We show numerically that, in problems involving strain localization, the standard data-driven framework for Cauchy/Boltzmann continua fails to capture the length scale of the material, as expected. We address this shortcoming by formulating a generalized data-driven framework for micromorphic continua that effectively captures both stiffness and length-scale information, as encoded in the material data, in a model-free manner. These properties are exhibited systematically in a one-dimensional softening bar problem and further verified through selected plane-strain problems.

Keywords

Cite

@article{arxiv.2402.15966,
  title  = {Data-driven micromorphic mechanics for materials with strain localization},
  author = {Jacinto Ulloa and Laurent Stainier and Michael Ortiz and José E. Andrade},
  journal= {arXiv preprint arXiv:2402.15966},
  year   = {2025}
}

Comments

Published version; minor errata correction

R2 v1 2026-06-28T14:59:18.494Z